Triple
T3575395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillard University (Theological training, informal/extension context) |
E75674
|
entity |
| Predicate | pedagogicalFormat |
P16603
|
FINISHED |
| Object | workshops |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: workshops | Statement: [Dillard University (Theological training, informal/extension context), pedagogicalFormat, workshops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pedagogicalFormat Context triple: [Dillard University (Theological training, informal/extension context), pedagogicalFormat, workshops]
-
A.
trainingFormat
chosen
Indicates the specific method or medium through which training is delivered or conducted.
-
B.
typeOfTeaching
Indicates the specific method or style of teaching used in an instructional context.
-
C.
didacticPurpose
Indicates that something is intended to teach, instruct, or convey educational content or guidance.
-
D.
educationalModel
Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
-
E.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0da77008190922f414b85b9cad4 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.